The purpose of this research were 1) to study the behavior of using the LINE application 2) to study the level of perceived features of the LINE application attitudes and social influence on the use of the LINE application the use of LINE application for learning communication and 3) to analysis of factors related to utilization of Line application for students’ learning communication of Rajamangala University of Technology Phra Nakhon. The quantitative approaches were applied by using questionnaire for data collection. The research samples were 380 students of Rajamangala University of Technology Phra Nakhon. Descriptive and inference statistics were used; arithmetic mean standard deviation and pearson correlation. The finding found that the most of the students’ use of LINE application had more than 5 years of experience the purpose of using it to chat with friends in the class the average duration of use each time less than 30 minutes the number of applications on average 6-10 times a day and mostly used on smartphones. The students expressed their views of the perceived factors of LINE application attitude social influence on the use of LINE and the use of LINE for the communication of students’ learning at a high level. All three factors were related to utilization of Line application for students’ learning communication in the medium level and they were in the same direction.

This research aims to study a model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application and to present model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application. The mixed methods approaches of quantitative and qualitative research methods were used. In qualitative research method using in-depth interviews with 11 respondents and quantitative research in which questionnaire was used as an instrument to collect data from 400 populations of generation millennials customer living in Bangkok who order foods through food delivery application. Statistics for data analysis included frequency percentage average standard deviation exploratory factor analysis (EFA) The results indicated that most of the respondents were women with a bachelorsdegree who had a career as private company employees and an average monthly income of 18000 – 25000 bahts use Grab application the most use less than once week there are a total of 2 orders per order choose order the most street food average 100 - 350 Baht cost per time order food in the evening (17.01-22.00 p.m.) order food to eat at accommodation most order food to eat with friends reason for ordering a delivery is that it is comfortable from out going by self choose to pay by cash and consumers think that all of the factors are important in deciding to order food from restaurants through the Delivery Application application at high level. Results analysis of factors affecting generation millennials customers’ decision making to order from food delivery application be classified into eight factor as 1) easy to user experience strategy 2) goods value and price strategy 3) physical evidence and presentation strategy 4) strategies for brand awareness 5) accuracy and complete strategy 6) restaurants management system strategy 7) sales promotion strategy 8) new product development strategy.

The research on opinions and demands of viewers digital TV via applications has objectives as follows 1. to study the opinions and needs of users who view digital TV via application; 2. to study the opinions and needs of the management from agencies organizations public sector private sector state enterprises and scholars involving in television media industry; 3. to establish guidelines for developing appropriate program format for digital TV application. The researcher used mixed research methodologies by combining two methodologies qualitative research and quantitative together. Both methodologies were used in conducting this research simultaneously in a single period. Data of both methodologies was collected and analyzed separately whereas the results were combined and interpreted. Then the results were discussed by comparing the similarity and difference of both methodologies. The qualitative research methods consisted of document review observation and in-depth interview. The quantitative research methods consisted of questionnaire from sample groups and statistical analysis. Research results revealed that according to opinions and demands of viewers digital TV via applications (most people downloaded digital TV viewing application on Android platform) the most watched channel is channel 8; on average they watched digital TV 5 days per week with minimum 3 hours of viewing time; the types of program that people watch regularly were dramas which they can watch offline afterwards. Overall the users had positive attitude towards their experience in using digital TV application with average score totalling 3.96. The factor that received the highest score was the convenience of using digital TV application which received average scores totalling 3.96 (agree). The second highest score which totalled 3.85 (agree) was usefulness. Usage protocol received 3.79 scores (agree) and service received 3.56 scores (agree). The most important factor according to the sample groups when choosing digital TV application was quality. Features format and structure were then considered respectively. As for the opinions of the management from agencies organizations public sector private sector state enterprises and scholars involving in television media industry they wished to see constant development in digital TV programs that would keep up with the ever changing technology as well as marketing factors relating to advertising incomes and other incomes.

The Online Equipment Inventory System for Subdivision of Supplies Case study at Faculty of Science and Technology is developed based on web application by using PHP and Laravel framework. The purposes of this system are firstly to systematically manage the database system of the asset equipment in the Faculty of science and technology. Secondly to increase the searching process rapidity and to create the summarize reports in PDF format. Lastly to produce the QR code for verified the asset equipment. This system is consists of the administrators and system users. In the part of satisfied evaluation the system is evaluated by the example target officers group. The overall result of satisfaction score is 4.10 which means the system can fulfill the requirement in a good level. Moreover when considering in each part of satisfaction; 1. design part 2. efficiency and functional part and 3. system satisfaction part the result scores are 3.96 4.18 and 4.06 consequently. In conclusion the Online Equipment Inventory System for Subdivision of Supplies Case study at Faculty of Science and Technology is work properly.

This project aims to create the model of fire protection system for the kitchen. The model installed of protection and notification systems was created by using the Google SketchUp program with a ratio of 1:10 from the real kitchen scale. According to the literature it was found that more than 50 % of the fire within the shelter occurred in a kitchen. The main causes are flame heat sparks and electrical equipment. The system was developed to detect flame gas and smoke by using infrared sensor (IR FLAME) and gas detection device (MQ-2). Arduino MEGA2560 is a central processor to control the device of the protection system. Node MCU is a data receiver with Arduino to display the average amount of gas flame through the Blynk application in real time and send notification via the Line application when the amount of either flame gas or smoke is greater than or equal to the specified quantity. Fire protection system is divided into 3 conditions: fire gas and smoke. In case of fire the sprinkler will be activated with class K extinguishers to extinguish fire. In gas leakage conditions ventilator will be activated to ventilate the gas leaks and the gas supply is cut off. For smoke condition the ventilator will be activated to ventilate the smoke out of the kitchen. The results of the experiment by using the method of dividing into 13 simulations in total. The system can detect the flame with 12 points 92% from 13 points. In case of gas a can of gas was used in all tests. Nine points of gas can detect with 69% of the total 13 points. The smoke detector can capture smoke with a large amount of smoke. There are a total of 13 tests that can capture 11 smoke points representing 84% of all 13 points.